Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationThu, 04 Sep 2014 03:58:06 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Sep/04/t1409799516so2h6yzxkajcpq4.htm/, Retrieved Mon, 13 May 2024 19:41:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=235784, Retrieved Mon, 13 May 2024 19:41:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [] [2014-09-04 02:58:06] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message
Dataseries X:
-10.9
-20
-0.6
-3.7
17.9
-3.8
16.1
57.9
16.5
4.6
-2.9
24.1
-24.4
17.4
-4.3
-2.1
-20.7
1.5
-2
6.1
19.8
21.3
9.4
5.6
-6.4
-3.1
-13.2
-16.3
2.7
-4
16.3
11.2
24.8
-0.6
-24.9
0.4
-13.1
6.6
3
22.6
-10.2
-17
-7.3
-3.9
-32.4
19
-1
7.3
1.3
1
-40.1
Dataseries Y:
73
69
82
82
72
66
55
112
81
73
78
76
57
68
59
51
63
71
80
43
63
42
58
42
90
65
59
50
84
33
62
93
71
72
42
62
80
60
56
53
76
53
76
85
48
38
56
60
65
45
68




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235784&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235784&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235784&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean0.89215686274509865.0588235294118
Biased Variance276.323467896963240.643598615917
Biased Standard Deviation16.622980114797815.5126915335772
Covariance60.6264705882353
Correlation0.230497421994022
Determination0.0531290615458902
T-Test1.65813054144188
p-value (2 sided)0.103680260396242
p-value (1 sided)0.0518401301981212
Degrees of Freedom49
Number of Observations51

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 0.892156862745098 & 65.0588235294118 \tabularnewline
Biased Variance & 276.323467896963 & 240.643598615917 \tabularnewline
Biased Standard Deviation & 16.6229801147978 & 15.5126915335772 \tabularnewline
Covariance & 60.6264705882353 \tabularnewline
Correlation & 0.230497421994022 \tabularnewline
Determination & 0.0531290615458902 \tabularnewline
T-Test & 1.65813054144188 \tabularnewline
p-value (2 sided) & 0.103680260396242 \tabularnewline
p-value (1 sided) & 0.0518401301981212 \tabularnewline
Degrees of Freedom & 49 \tabularnewline
Number of Observations & 51 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235784&T=1

[TABLE]
[ROW][C]Pearson Product Moment Correlation - Ungrouped Data[/C][/ROW]
[ROW][C]Statistic[/C][C]Variable X[/C][C]Variable Y[/C][/ROW]
[ROW][C]Mean[/C][C]0.892156862745098[/C][C]65.0588235294118[/C][/ROW]
[ROW][C]Biased Variance[/C][C]276.323467896963[/C][C]240.643598615917[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]16.6229801147978[/C][C]15.5126915335772[/C][/ROW]
[ROW][C]Covariance[/C][C]60.6264705882353[/C][/ROW]
[ROW][C]Correlation[/C][C]0.230497421994022[/C][/ROW]
[ROW][C]Determination[/C][C]0.0531290615458902[/C][/ROW]
[ROW][C]T-Test[/C][C]1.65813054144188[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.103680260396242[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.0518401301981212[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]49[/C][/ROW]
[ROW][C]Number of Observations[/C][C]51[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235784&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235784&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean0.89215686274509865.0588235294118
Biased Variance276.323467896963240.643598615917
Biased Standard Deviation16.622980114797815.5126915335772
Covariance60.6264705882353
Correlation0.230497421994022
Determination0.0531290615458902
T-Test1.65813054144188
p-value (2 sided)0.103680260396242
p-value (1 sided)0.0518401301981212
Degrees of Freedom49
Number of Observations51







Normality Tests
> jarque.x
	Jarque-Bera Normality Test
data:  x
JB = 6.3695, p-value = 0.04139
alternative hypothesis: greater
> jarque.y
	Jarque-Bera Normality Test
data:  y
JB = 0.9138, p-value = 0.6332
alternative hypothesis: greater
> ad.x
	Anderson-Darling normality test
data:  x
A = 0.4976, p-value = 0.2025
> ad.y
	Anderson-Darling normality test
data:  y
A = 0.1506, p-value = 0.9592

\begin{tabular}{lllllllll}
\hline
Normality Tests \tabularnewline
> jarque.x
	Jarque-Bera Normality Test
data:  x
JB = 6.3695, p-value = 0.04139
alternative hypothesis: greater
\tabularnewline
> jarque.y
	Jarque-Bera Normality Test
data:  y
JB = 0.9138, p-value = 0.6332
alternative hypothesis: greater
\tabularnewline
> ad.x
	Anderson-Darling normality test
data:  x
A = 0.4976, p-value = 0.2025
\tabularnewline
> ad.y
	Anderson-Darling normality test
data:  y
A = 0.1506, p-value = 0.9592
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=235784&T=2

[TABLE]
[ROW][C]Normality Tests[/C][/ROW]
[ROW][C]
> jarque.x
	Jarque-Bera Normality Test
data:  x
JB = 6.3695, p-value = 0.04139
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> jarque.y
	Jarque-Bera Normality Test
data:  y
JB = 0.9138, p-value = 0.6332
alternative hypothesis: greater
[/C][/ROW] [ROW][C]
> ad.x
	Anderson-Darling normality test
data:  x
A = 0.4976, p-value = 0.2025
[/C][/ROW] [ROW][C]
> ad.y
	Anderson-Darling normality test
data:  y
A = 0.1506, p-value = 0.9592
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=235784&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235784&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Normality Tests
> jarque.x
	Jarque-Bera Normality Test
data:  x
JB = 6.3695, p-value = 0.04139
alternative hypothesis: greater
> jarque.y
	Jarque-Bera Normality Test
data:  y
JB = 0.9138, p-value = 0.6332
alternative hypothesis: greater
> ad.x
	Anderson-Darling normality test
data:  x
A = 0.4976, p-value = 0.2025
> ad.y
	Anderson-Darling normality test
data:  y
A = 0.1506, p-value = 0.9592



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
x <- x[!is.na(y)]
y <- y[!is.na(y)]
y <- y[!is.na(x)]
x <- x[!is.na(x)]
bitmap(file='test1.png')
histx <- hist(x, plot=FALSE)
histy <- hist(y, plot=FALSE)
maxcounts <- max(c(histx$counts, histx$counts))
xrange <- c(min(x),max(x))
yrange <- c(min(y),max(y))
nf <- layout(matrix(c(2,0,1,3),2,2,byrow=TRUE), c(3,1), c(1,3), TRUE)
par(mar=c(4,4,1,1))
plot(x, y, xlim=xrange, ylim=yrange, xlab=xlab, ylab=ylab, sub=main)
par(mar=c(0,4,1,1))
barplot(histx$counts, axes=FALSE, ylim=c(0, maxcounts), space=0)
par(mar=c(4,0,1,1))
barplot(histy$counts, axes=FALSE, xlim=c(0, maxcounts), space=0, horiz=TRUE)
dev.off()
lx = length(x)
makebiased = (lx-1)/lx
varx = var(x)*makebiased
vary = var(y)*makebiased
corxy <- cor.test(x,y,method='pearson', na.rm = T)
cxy <- as.matrix(corxy$estimate)[1,1]
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Pearson Product Moment Correlation - Ungrouped Data',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic',1,TRUE)
a<-table.element(a,'Variable X',1,TRUE)
a<-table.element(a,'Variable Y',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('arithmetic_mean.htm','Mean',''),header=TRUE)
a<-table.element(a,mean(x))
a<-table.element(a,mean(y))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('biased.htm','Biased Variance',''),header=TRUE)
a<-table.element(a,varx)
a<-table.element(a,vary)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('biased1.htm','Biased Standard Deviation',''),header=TRUE)
a<-table.element(a,sqrt(varx))
a<-table.element(a,sqrt(vary))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('covariance.htm','Covariance',''),header=TRUE)
a<-table.element(a,cov(x,y),2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('pearson_correlation.htm','Correlation',''),header=TRUE)
a<-table.element(a,cxy,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('coeff_of_determination.htm','Determination',''),header=TRUE)
a<-table.element(a,cxy*cxy,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('ttest_statistic.htm','T-Test',''),header=TRUE)
a<-table.element(a,as.matrix(corxy$statistic)[1,1],2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value (2 sided)',header=TRUE)
a<-table.element(a,(p2 <- as.matrix(corxy$p.value)[1,1]),2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value (1 sided)',header=TRUE)
a<-table.element(a,p2/2,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degrees of Freedom',header=TRUE)
a<-table.element(a,lx-2,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of Observations',header=TRUE)
a<-table.element(a,lx,2)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
library(moments)
library(nortest)
jarque.x <- jarque.test(x)
jarque.y <- jarque.test(y)
if(lx>7) {
ad.x <- ad.test(x)
ad.y <- ad.test(y)
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Normality Tests',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('jarque.x'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('jarque.y'),'
',sep=''))
a<-table.row.end(a)
if(lx>7) {
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('ad.x'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('ad.y'),'
',sep=''))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
library(car)
bitmap(file='test2.png')
qq.plot(x,main='QQplot of variable x')
dev.off()
bitmap(file='test3.png')
qq.plot(y,main='QQplot of variable y')
dev.off()